Separable Nonnegative Matrix Factorization Using Powered Ratio-of-Norms Regularization

Matthew McCarver, Jing Qin

Separable nonnegative matrix factorization (SNMF) has been widely used for low-rank representation and clustering of nonnegative data, owing to its ability to produce part-based an…